Final table projection
Model estimateEvery remaining match simulated 10,000 times with Vesta’s strengths of today, added to the table as it stands. Sorted by average finishing position.
| # | Team | Pts | Title | Top 4 | Bot. 3 |
|---|---|---|---|---|---|
| 1 | 70 | 78% | 99% | – | |
| 2 | 58 | 8% | 66% | <1% | |
| 3 | 57 | 6% | 60% | <1% | |
| 4 | 54 | 3% | 44% | <1% | |
| 5 | 54 | 3% | 40% | <1% | |
| 6 | 53 | 2% | 37% | <1% | |
| 7 | 50 | <1% | 19% | 2% | |
| 8 | 47 | <1% | 10% | 4% | |
| 9 | 46 | <1% | 8% | 6% | |
| 10 | 45 | <1% | 7% | 8% | |
| 11 | 43 | <1% | 5% | 10% | |
| 12 | 42 | <1% | 3% | 13% | |
| 13 | 41 | <1% | 2% | 19% | |
| 14 | 37 | – | <1% | 37% | |
| 15 | 36 | – | <1% | 41% | |
| 16 | 36 | – | <1% | 44% | |
| 17 | 35 | – | <1% | 55% | |
| 18 | 33 | – | <1% | 60% |
Range: 8 in 10 simulated seasons end between these points. Strengths stay as they are today: injuries, transfers and changes of coach are not in it, nor are points deductions. Computed Sat 3 Oct 2026, on data up to Sun 20 Sep 2026.
Projected final numbers
Model estimate| # | Team | W | D | L | Goals for | Against | Diff. |
|---|---|---|---|---|---|---|---|
| 1 | 21 | 8 | 5 | 71 | 35 | +36 | |
| 2 | 16 | 9 | 9 | 53 | 40 | +13 | |
| 3 | 16 | 10 | 9 | 57 | 40 | +17 | |
| 4 | 15 | 9 | 10 | 51 | 40 | +11 | |
| 5 | 15 | 10 | 9 | 50 | 41 | +10 | |
| 6 | 15 | 8 | 11 | 61 | 47 | +14 | |
| 7 | 14 | 9 | 12 | 51 | 52 | -1 | |
| 8 | 13 | 9 | 13 | 53 | 53 | +0 | |
| 9 | 12 | 10 | 12 | 50 | 50 | -1 | |
| 10 | 12 | 7 | 14 | 55 | 53 | +2 | |
| 11 | 11 | 10 | 13 | 48 | 51 | -3 | |
| 12 | 11 | 10 | 13 | 43 | 47 | -4 | |
| 13 | 10 | 11 | 13 | 49 | 56 | -8 | |
| 14 | 10 | 8 | 16 | 42 | 59 | -17 | |
| 15 | 9 | 9 | 16 | 39 | 53 | -14 | |
| 16 | 9 | 10 | 16 | 39 | 55 | -16 | |
| 17 | 9 | 8 | 17 | 41 | 63 | -22 | |
| 18 | 8 | 10 | 16 | 39 | 55 | -16 |
Averages over the simulated seasons (the matches played included), so a row may not add up to the matches of a season after rounding.
Top scorer race
Model estimateGoals at the end of the season: the goals of the simulated rest of the season shared among each team's players by their recent part in its attack.
| Player | Now | Final | Top scorer |
|---|---|---|---|
| Amine GouiriMarseille | 4 | 17 | 48% |
| Florian ThauvinLens | 3 | 15 | 17% |
| Lassine SinayokoParis FC | 4 | 14 | 14% |
| Paris BrunnerMonaco | 4 | 13 | 9% |
| Kamory DoumbiaBrest | 4 | 12 | 4% |
| Louis MafoutaLe Mans | 3 | 12 | 4% |
| Esteban LepaulRennes | 2 | 11 | 2% |
| Ferrán TorresParis Saint Germain | 2 | 11 | 2% |
| Ernest NuamahLyon | 3 | 9 | <1% |
| Cameron ArcherAuxerre | 3 | 9 | <1% |
Assists race
Model estimate| Player | Now | Final | Most assists |
|---|---|---|---|
| Florian ThauvinLens | 2 | 9 | 25% |
| Cristian Cásseres Jr.Toulouse | 4 | 9 | 16% |
| Amine GouiriMarseille | 1 | 7 | 7% |
| Zachary AthekameLyon | 2 | 7 | 7% |
| Aleksandr GolovinMonaco | 2 | 7 | 4% |
| Pavel SulcLyon | 3 | 7 | 2% |
| Corentin TolissoLyon | 2 | 7 | 3% |
| Gessime YassineStrasbourg | 1 | 7 | 4% |
| Panos KatserisLorient | 3 | 6 | 2% |
| Lamine CamaraMonaco | 1 | 6 | 3% |
Assists are shared the same way, by each player's recent part in creating chances.
This week
Since Sun 13 Sep 2026The chances that moved most, in percentage points: the projection now against the one made with the data of a week of matches ago.
Points and chances
2026-27Expected points: what the chances of every match (expected goals) were worth, on average. A team above them took more points than its chances, from finishing, goalkeeping or luck.
| Team | Points | Expected | Difference |
|---|---|---|---|
| 13 | 6.9 | +6.1 | |
| 10 | 6.3 | +3.7 | |
| 10 | 7.4 | +2.6 | |
| 7 | 4.8 | +2.2 | |
| 11 | 8.8 | +2.2 | |
| 5 | 4.5 | +0.5 | |
| 6 | 5.5 | +0.5 | |
| 11 | 10.6 | +0.4 | |
| 6 | 5.9 | +0.1 | |
| 7 | 7.3 | −0.3 | |
| 4 | 4.3 | −0.3 | |
| 8 | 9.4 | −1.4 | |
| 5 | 6.5 | −1.5 | |
| 3 | 5.6 | −2.6 | |
| 2 | 4.9 | −2.9 | |
| 5 | 8.7 | −3.7 | |
| 5 | 9.2 | −4.2 | |
| 4 | 8.6 | −4.6 |

